Model Optimization Strategies

Discover the intricacies of optimizing machine learning models for real-world applications. Sergiy shares how leveraging reinforcement learning allows for higher-level planning while offloading complexity to classic code. He also discusses the challenges of regression testing and reveals how transitioning to C can significantly reduce testing times, transforming hours of waiting into mere minutes.